Study of Short-Term Wind Power Forecasting Based on Adaptive Grey Prediction Method

Wen Zhen Cai; Dong Tao Wang; Yuan Song Wang; Yong Yang; Zhi Long Gao

doi:10.4028/www.scientific.net/AMM.734.697

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 734Study of Short-Term Wind Power Forecasting Based...

Study of Short-Term Wind Power Forecasting Based on Adaptive Grey Prediction Method

Abstract:

With the wind power developing fast in the world, the large scale of wind power integration in power system leads to great challenges, and the wind power forecasting will play a key role in dealing with these challenges. A wind power short-term forecasting method based on grey system is introduced in this paper. Firstly, a basic model of grey prediction method is given. Then, in order to smoothen the basic data for the grey modeling, a self adaptive grey prediction method is developed. Finally, the result of prediction for a test system of wind power are presented and the effectiveness of the method given by the paper has been proved.

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Periodical:

Applied Mechanics and Materials (Volume 734)

Pages:

697-700

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.734.697

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Cite this paper

Online since:

February 2015

Authors:

Wen Zhen Cai*, Dong Tao Wang, Yuan Song Wang, Yong Yang, Zhi Long Gao

Keywords:

Grey Prediction Method, Self Adaptive, Wind Power

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* - Corresponding Author

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